Applied AI Engineer

Praecipio

Applied AI Engineer building production agentic systems for Praecipio, an Atlassian consultancy and AI services provider. Delivering client integrations and internal workflows hands-on.

Posted 8/10/2026full-timeRemote • Illinois • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building agentic systems for enterprise clients, with a strong focus on workflow deployments, integrations, and production AI builds. Proficient in explaining technical concepts to non-technical audiences while ensuring pragmatic delivery and continuous improvement.

Highest-signal resume keywords

Agentic System DevelopmentLLM-Backed SystemsEnterprise Tooling IntegrationGit and GitHub ProficiencyTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Agentic System DesignWorkflow DeploymentProduction AI BuildsAPI IntegrationHands-On Execution

Soft Skills

Pragmatic ApproachClient CollaborationTechnical Explanation

Tools & Technologies

GitGitHubClaude CodeAtlassian Tools

Industry Keywords

Enterprise ClientsBusiness SystemsDelivery FunctionsSales FunctionsOperations Functions

About the role

Key responsibilities & impact

Design and build agentic systems for enterprise clients, including workflow deployments, integrations, and production AI builds
Build internal agentic workflows across Praecipio's delivery, sales, and operations functions
Support advisory engagements requiring hands-on execution, sitting with clients and shipping alongside them
Bring lessons from each build into the practice's shared patterns and methodology

Requirements

What you’ll need

Work in Git, GitHub, and Claude Code in the terminal today
Demonstrated ability to ship agentic or LLM-backed systems that run in production
Fluency with enterprise tooling and APIs
Comfort integrating with business systems
Ability to explain technical work and its business value to non-technical audiences
Pragmatic approach to scope: ship a working version, then improve it
Atlassian background helpful but not required

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Praecipio Website LinkedIn All Job Openings 51 - 200 employees 💼 Consulting 🏢 Enterprise Consulting
Enterprise Praecipio is a North American Atlassian-focused consulting and managed services firm (founded in 2006) that helps enterprises migrate to cloud, modernize ITSM/ESM, implement Atlassian platforms, and deploy AI-powered workflow and integrations. They are a multi‑award Atlassian Platinum Solution Partner and member of the Claude Partner Network, offering services including complex cloud migrations, enterprise AI, managed services, professional services, Atlassian licensing, staff augmentation, custom app development, DevOps/DevEx, portfolio & value management, and strategic frameworks (VISTA) to improve visibility, intelligence, technology, strategy, and agility for large organizations. Applied AI Engineer Job not on LinkedIn 🔥 0 minutes ago 🌽 Illinois – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design and build agentic systems for enterprise clients, including workflow deployments, integrations, and production AI builds
Build internal agentic workflows across Praecipio's delivery, sales, and operations functions
Support advisory engagements requiring hands-on execution, sitting with clients and shipping alongside them
Bring lessons from each build into the practice's shared patterns and methodology 🎯 Requirements
Work in Git, GitHub, and Claude Code in the terminal today
Demonstrated ability to ship agentic or LLM-backed systems that run in production
Fluency with enterprise tooling and APIs
Comfort integrating with business systems
Ability to explain technical work and its business value to non-technical audiences
Pragmatic approach to scope: ship a working version, then improve it
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